Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image noise reducing method for Contourlet transform

An image noise reduction and transform domain technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of not considering the coefficient distribution characteristics of the Contourlet domain.

Inactive Publication Date: 2008-11-12
SHANGHAI UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods simply select a general threshold to intercept the signal and perform noise reduction without considering the distribution characteristics of the coefficients in the Contourlet domain. Therefore, these algorithms are not optimal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image noise reducing method for Contourlet transform
  • Image noise reducing method for Contourlet transform
  • Image noise reducing method for Contourlet transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] A preferred embodiment of the present invention is described as follows in conjunction with accompanying drawing:

[0044] The image noise reduction method in the Contourlet transform domain, such as figure 1 shown. First, after a certain amount of cyclic translation is performed on the input noisy image, the input noisy image is decomposed by multi-scale and multi-direction using Contourlet transform, and the minimum Bayesian risk function is used in the Contourlet transform domain to estimate the Contourlet domain coefficient. Secondly, the Contourlet inverse transformation and the inverse circular translation of the corresponding translation amount are carried out to obtain the noise-reduced image after this translation. Then repeat the previous steps, and linearly average the noise-reduced images obtained each time to obtain the final noise-reduced image to achieve the purpose of image noise reduction.

[0045] The specific steps are:

[0046] ①Initialize setting...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an image noise reduction method of Contourlet transformation region, wherein it comprises: translating the input image with noise; using Contourlet transformation to decompose said image at multiple sizes and directions, and in the Contourlet transformation region, using minimum Bayesian risk function to evaluate the Contourlet region factor; then processing Contourlet inverse transformation and inversed translating to obtain the noise reduced image; then repeating aforementioned steps, linearly averaging the noise reduced image, to obtain last noise reduced image. The invention can improve the quality of noise reduced image, to provide full and accurate target and background information, to be used in optical imaging, target detecting and safety detecting systems.

Description

technical field [0001] The invention relates to an image noise reduction method in the Contourlet (contour wavelet) transform domain. The method adopts a nonlinear Bayesian (Bayesian) threshold value estimation method in the Contourlet transform domain to perform noise reduction and improve image quality. It is widely used in military and non-military fields such as optical imaging, target detection, security monitoring and other systems. Background technique [0002] Usually, the image will be polluted by different degrees of noise during its acquisition or transmission process, and it is necessary to perform noise reduction processing for subsequent further processing. The purpose of noise reduction is to filter out noise as much as possible, while retaining all the characteristic information of the image to the greatest extent, so as to improve the restoration quality of the image. At present, image noise reduction methods are mainly divided into two categories: linear f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 方勇刘盛鹏罗伟栋
Owner SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com